Paper
16 December 1988 Object Tracking Using Curvilinear Features
J. G. Landowski, R. S. Loe
Author Affiliations +
Abstract
This article discusses a technique for following an object of interest through a sequence of time varying imagery. The approach described is based on matching strong curvilinear edge features using a chain code 'representation for the edges. A simple match function suitable for efficient real-time implementation is described. It can handle reasonable amounts of obscuration, small rotations and edge fragmentation. We have applied this process to several infrared image sequences with results that are better than standard correlation strategies and that meet our operational requirements.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. G. Landowski and R. S. Loe "Object Tracking Using Curvilinear Features", Proc. SPIE 0974, Applications of Digital Image Processing XI, (16 December 1988); https://doi.org/10.1117/12.948478
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CITATIONS
Cited by 4 patents.
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KEYWORDS
Image processing

Sensors

Image segmentation

Digital image processing

Detection and tracking algorithms

Distance measurement

Image analysis

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